Document Bundle Reading Completion Time Prediction
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Solution Overview
Problem
Existing prediction systems for document bundle completion time are inaccurate when relying solely on pre-reading estimates based on weight or thickness, as they may significantly differ from actual completion times due to discrepancies in the number of document sheets.
Innovation Solution
A prediction system that performs a first prediction before reading and a second prediction after some document sheets are read, using weight or thickness changes and relationship information to refine the completion time estimate, improving accuracy by adjusting for actual document sheet numbers and types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If only pre-reading prediction based on weight or thickness is performed, then the prediction process is simple, but the accuracy of completion time prediction deteriorates
Solution Approach 1:
The system performs a first prediction process before reading to provide an initial completion time estimate, then performs a second prediction process after reading some document sheets to refine the estimate. This preliminary action followed by refinement resolves the contradiction by maintaining simplicity initially while improving accuracy subsequently.
Solution Approach 2:
The system uses feedback from actual reading progress (amount of change in weight or thickness) to adjust and refine the completion time prediction. The second prediction process incorporates this feedback to improve accuracy, resolving the contradiction between simple prediction processes and accurate predictions.
2Device complexity
If estimation of document sheets is based only on weight or thickness before reading, then the measurement process is simple, but the reliability of the estimate deteriorates
Solution Approach 1:
The system dynamically adjusts the estimation approach by initially using simple weight or thickness measurement, then incorporating additional information from actual reading progress. This dynamic adaptation resolves the contradiction by maintaining simplicity when possible while improving reliability when conditions allow.
Solution Approach 2:
The system performs preliminary estimation based on weight or thickness before reading, then refines this estimate after reading some document sheets. This preliminary action followed by refinement resolves the contradiction between simple measurement processes and reliable estimates.
3Loss of time
If a single pre-reading prediction is performed, then the processing time is short, but the usefulness of the prediction deteriorates due to large deviation from actual completion time
Solution Approach 1:
The system performs prediction at periodic intervals - first before reading, then after reading some document sheets. This periodic action resolves the contradiction by providing quick initial predictions while periodically updating to improve usefulness without continuous processing overhead.
Solution Approach 2:
The system performs a preliminary prediction before reading to provide immediate information, then refines this prediction after reading some document sheets. This approach resolves the contradiction between short processing time and prediction usefulness by providing quick initial estimates followed by refined predictions.
Data Source
AI summary
A prediction system includes a processor configured to: perform a first prediction process for predicting a first completion time, at which reading of a document bundle will be completed, before the reading; and perform a second prediction process for predicting, after some of the document sheets are read, a second completion time, at which reading of the document bundle will be completed, on a basis of an amount of change in weight or thickness of the document bundle and relationship information indicating a relationship between the amount of change and a number of document sheets read by this time or time taken to read the some of the document sheets.